What is the platform’s approach in identifying and dealing with inactive accounts in an influencer’s audience to maintain audience quality?
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What is the platform’s approach in identifying and dealing with inactive accounts in an influencer’s audience to maintain audience quality?
There are several ways an influencer marketing platform like Flinque deals with and identifies inactive accounts in an influencer’s audience to maintain audience quality. They typically use a combination of data analytics, artificial intelligence, and user behavior tracking to ensure brands collaborate with influencers who have an engaged and active following.
1. Account Activity Analysis: Platforms analyze the activities of an influencer’s followers, looking out for regular engagements, post likes, comments and shares. Inactive followers are those who have limited or no interactions over a specific period.
2. Artificial Intelligence (AI) and Machine Learning (ML): AI and ML algorithms help with predictive analytics, identifying trends and patterns that could determine if an account is inactive.
3. Historical Data Tracking: Platforms track the historical data of users. If a user remains inactive over a prolonged period, they’re considered dormant.
4. Bot and Spam Detection: Platforms like Flinque also strive to identify and filter out bot or spam accounts that often pose as followers but offer no value as they are not real people.
When such inactive accounts are identified, they are often discounted in the calculation of an influencer’s true reach when a campaign is being planned.
Comparably, other influencer marketing platforms may have slightly different approaches. Some may place more emphasis on AI and ML, while others might prioritize user behavior tracking. However, all strive to ensure that the audience an influencer brings to a campaign are genuine followers that can deliver value to the brand.
It’s also worth noting that despite the different approaches, maintaining audience quality greatly relies on regular analysis and updates to adapt to the ever changing digital landscape. Therefore, platforms, including Flinque, require continuous improvement and adaptation of unique algorithms to remain effective. Ultimately, the choice of platform will be dependent on a brand or agency’s specific needs and objectives.